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June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Bellevue, Washington): Combine deep understanding of machine learning, advanced data analysis, statistical testing, and the ability to communicate insights effectively to both technical and non-technical stakeholders. Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, generative AI, and computer vision for different retail applications.
However, we find that the most successful candidates typically come in with something like the following experience: - BS/MS with 5+ years or a PhD with 3+ years of experience working in a DS and ML role that involves bringing products from ideation to production. A track record of owning a project end-to-end (from research to production), and partnership with a cross-functional team of data scientists, engineers, and product managers to deliver the data science solution and models.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k.
In this role,you willprovide technical and strategic leadershipwithin MQE bydefiningdata scienceroadmap and execution plans, owningend-to-enddevelopment ofadvanced modeling, analytical,and measurement systems, and partnering closely with engineering, product, and business leaders to translate complexrequirementsinto trusted, scalable solutions. Design, build, andproductionizestatistical and machine learning models to detect fraud, invalid traffic, and low-quality inventory in adversarial, large-scale environments.
Deepexpertisein modern data engineering platforms including cloud data ecosystems (Azure/AWS/GCP), data lakes/lake houses, Enterprise data platform architectures, and both batch and realtime data pipelines. The Director, DataEngineering, is responsible forleading the strategy, development, and operation of BECU's Enterprise Data Platform (EDP), enabling scalable, secure, and governed data capabilities across the organization.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Experience supporting GenAI and LLM-based systems - including building and maintaining data pipelines for model training, fine-tuning, or RAG (Retrieval-Augmented Generation) workflows.
li>Experience designing, building, or deploying agentic AI systems - including autonomous agents, multi-agent orchestration, tool-use frameworks, or agent-based workflows using platforms such as LangChain, AutoGen, Semantic Kernel, or similar is a plus.
Preferred Qualifications:
Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
This is a highly strategic, client-facing role at the intersection of insurance, data analytics, and InsurTech, partnering closely with client stakeholders, data scientists, engineers, and actuarial teams. This role is ideal for a technically fluent insurance leader who thrives in a fast-paced, data-driven environment and can translate advanced analytics into actionable risk and business solutions.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. We operate one of the world's most sophisticated global transaction networks-processing more than 65,000 secure transactions per second across 80 million merchants, 15,000 financial institutions, and billions of people worldwide.
Develop executive-ready deliverables including strategy presentations, assessments, business cases, white papers, and market insights while contributing to Slalom's practice development through mentoring, reusable assets, and thought leadership. * 7+ years of experience in consulting, enterprise strategy, digital transformation, data strategy, analytics, or technology advisory roles, including experience leading client-facing engagements.
Additional or preferred qualifications:** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience. **Qualifications** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. This position applies expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain.
AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. * The AI Scientist II would have a degree (master's or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics.
As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign's products. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights.
Qualifications Required: + Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.) + 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision) + 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments + 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow + 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads + Live within commuting distance to one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred: + 2+ years of experience working in a client-facing, consulting environment + 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions + 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.) + 1+ year of experience with AWS Sagemaker or AWS ML Studio The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Key responsibilities include: + Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production + Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives + Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization + Validate AI models and algorithm via code reviews, unit, and integration tests + Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives + Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to lead projects or workstreams + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
The data scientist will use multimodal, real-world healthcare data (electronic health records, registry data, etc.) as well as multimodal data sets generated in clinical and translational labs such as genomics and imaging, to advance our understanding of clinical care and patient outcomes. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers.
p>Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. Senior Data Scientist:
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees.
D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.) + 2+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision) + 2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments + 2+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Triton, RAPIDs, Kubeflow, and MLflow + 2+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads + Live within commuting distance to one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred: + 2+ years of experience working in a client-facing, consulting environment + 1+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions + 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, agent-based tools and services, and GenAI frameworks (i.e., LangChain, LangGraph, MCP, etc.) + 1+ year of experience with AWS Sagemaker or AWS ML Studio The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Key responsibilities include: + Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production + Participate in client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives + Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization + Validate AI models and algorithm via code reviews, unit, and integration tests + Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives + Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others The Team Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
The Data Scientist will design and analyze experiments (A/B tests) to measure the impact of forecast model changes, develop bias correction models to improve forecast accuracy, and contribute to GenAI/LLM-based approaches for forecast explainability and interpretability. The Data Scientist needs to be familiar with deriving causal inferences using observational and experimental data and able to model variations related to demand prediction, out of stock, seasonality, and different lead times and spans.
p>Knowledge & Skills: Scope: Supports the ongoing development, enhancement, and user adoption of the YODA revenue management analytics platform, working directly with Revenue Management teams across Holland America Line and Seabourn to ensure all models and tools are accurate, accessible, and actionable.
The Associate Data Scientist will play a hands-on role in supporting the ongoing development, enhancement, and adoption of YODA-the proprietary yield optimization and demand analytics platform built and owned by the data science teams across Carnival Corporation.
You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well as leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. Here are a few reasons why we think you'd love working here:
Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
p>Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.